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Table 5 Average performance of different methods on the DREAM4 100-gene networks

From: Fast Bayesian inference for gene regulatory networks using ScanBMA

Method

Precision

AUROC

AUPRC

TP

FP

LASSO

0.035

0.643

0.073

571

15757

ebdbnet

0.054

0.643

0.043

182

3201

ARACNE

0.114

0.589

0.106

208

1621

CLR

0.035

0.699

0.123

678

18669

MRNET

0.035

0.701

0.130

689

18784

ScanBMA

0.153

0.657

0.101

193

1062

  1. ScanBMA run with original data. The true positive (TP) and false positive (FP) columns are totaled across all 5 networks. There are 1,024 true edges across the 5 networks
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BMC Systems Biology

ISSN: 1752-0509

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